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» Distributed and Parallel Data Mining on the Grid
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COREGRID
2007
Springer
14 years 2 months ago
Co-Allocating Compute and Network Resources
Distributed applications or workflows need to access and use compute, storage and network resources simultaneously or chronologically coordinated respectively. Examples are distri...
Thomas Eickermann, Lidia Westphal, Oliver Wäl...
CCGRID
2004
IEEE
14 years 14 days ago
Capability matching of data streams with network services
Distributed computing middleware needs to support a wide range of resources, such as diverse software components, various hardware devices, and heterogeneous operating systems and...
Han Gao, Ivan R. Judson, Thomas D. Uram, Terry Dis...
ESCIENCE
2007
IEEE
14 years 3 months ago
Multiple Middleware Co-existence: Another Aspect of Grid Interoperation
Since the birth of computational and data grids, many middlewares have been developed and deployed. Currently, they are used in a multitude of isolated e-Infrastructures and a hot...
Roberto Barbera, Marco Fargetta, Emidio Giorgio
SBACPAD
2003
IEEE
180views Hardware» more  SBACPAD 2003»
14 years 2 months ago
New Parallel Algorithms for Frequent Itemset Mining in Very Large Databases
Frequent itemset mining is a classic problem in data mining. It is a non-supervised process which concerns in finding frequent patterns (or itemsets) hidden in large volumes of d...
Adriano Veloso, Wagner Meira Jr., Srinivasan Parth...
ICDM
2003
IEEE
140views Data Mining» more  ICDM 2003»
14 years 2 months ago
Mining Frequent Itemsets in Distributed and Dynamic Databases
Traditional methods for frequent itemset mining typically assume that data is centralized and static. Such methods impose excessive communication overhead when data is distributed...
Matthew Eric Otey, Chao Wang, Srinivasan Parthasar...